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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 226
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    INDEX
    Explanations

    phrases related to expressing opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    expressions of moral judgment and critical reflection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akeru
    -0.57
    omach
    -0.53
     Gang
    -0.52
    ominated
    -0.51
    ventures
    -0.51
    pired
    -0.50
    adden
    -0.50
    acha
    -0.50
    tackle
    -0.50
    boro
    -0.49
    POSITIVE LOGITS
     furthermore
    0.76
     moreover
    0.68
     Lastly
    0.58
     Conclusion
    0.57
     ALSO
    0.56
    cknowled
    0.56
     cannot
    0.56
    .''.
    0.55
     MUST
    0.55
    theless
    0.53
    Activations Density 0.948%

    No Known Activations